• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.535-542
• /
• 2023

This study attempted to identify various variables that affect satisfaction and continued use intention of the subscription economy services. Through previous research studies, individual characteristics and service characteristic variables were considered together. Finally, use motivation, platform characteristic factors, and product and service characteristic factors were classified and examined. As a result of the study, the motive for using the service that affects the satisfaction of the subscription economy service was found to be functional hedonic, and economic motive, and platform recency and convenience, economic utility, and perceived personalization had a positive effect. Functional and hedonic motives and convenience showed positive influences on continued use intention, while social motives showed negative influences. In addition, it was confirmed that economic motivation, platform recency, economic utility, and perceived personalization showed a positive influence on the intention to continued use intention by mediating satisfaction with subscription economy services.

• Korean Journal of Culture and Social Issue
• /
• v.19 no.3
• /
• pp.487-506
• /
• 2013

The present study investigated whether do the efforts of interviewer really impact on the building a rapport by using four rapport building techniques-personalization, empathy, listening, and credibility. One woman probation officer interviewed 139 criminals(male, 122; female, 17). And she tried to building a rapport by using 4 rapport building techniques for about 11 minutes in every interview. In result, the degree of rapport perceived by interviewees was different significantly between high rapport group and low rapport group of 4 each rapport technique. Result suggests that personalization and listening techniques would be efficient way of building a rapport in investigative interviewing.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.44 no.2
• /
• pp.255-272
• /
• 2020

This exploratory study investigated Chinese consumers' perceived usefulness and risks of fashion apps and identified reasons for continuance and discontinuance intentions. This study conducted focus group interviews with a convenience sample of 13 Chinese students majoring in fashion in Korea. Based on interviewee responses, this study identified five attributes leading the perceived usefulness of mobile fashion apps (ubiquity and convenience, multi-media information, personalization, interactivity between consumers, and immediateness) and sub elements related to the five attributes. Five types of perceived risk (privacy risk, security risk, product risk, loss of future opportunity, and time risk) were identified in relation to Chinese consumers' use of fashion apps. The important role of live streaming services was uniquely identified by Chinese fashion app users. Usefulness of location-based information provided by mobile fashion apps were differently perceived according to respondents' use purpose, and augmented reality services provided by the apps were related to entertainment rather than usefulness. This study provides meaningful insights into Chinese consumers' perceptions of fashion apps and important app attributes that influence their continuance and discontinuance intentions. The findings from this study lend preliminary implications for future researchers and fashion businesses interested in the Chinese app market.

• Journal of Information Technology Applications and Management
• /
• v.27 no.1
• /
• pp.147-171
• /
• 2020

In-app advertisement is a fast-growing trend in mobile advertising, where user acceptance of ads is facilitated by the fact that users have voluntarily downloaded the app through which the ad is served. However, research in this ad category is limited. This study applies an extended version of the theory of planned behavior. Analysis results from 412 young mobile users in Vietnam using structural equation modeling showed that while localization and perceived enjoyment affected user intention to watch in-app ads as expected, perceived behavioral control and trust did not. Such results may be due to embedding the ads to applications, confusing users' behavioral intentions. The results underline the need for more future research in the area. In practical terms, companies should improve localization and entertainment aspects of ads to create more relevant and engaging advertisements.

• Journal of Fashion Business
• /
• v.22 no.6
• /
• pp.83-93
• /
• 2018

The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users' perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user's expectation confirmation also significantly affected the users' continuous usage intention.

• Asia pacific journal of information systems
• /
• v.22 no.4
• /
• pp.7-29
• /
• 2012

Smartphone and its applications (i.e. apps) are increasingly penetrating consumer markets. According to a recent report from Korea Communications Commission, nearly 50% of mobile subscribers in South Korea are smartphone users that accounts for over 25 million people. In particular, the importance of smartphone has risen as a geospatially-aware device that provides various location-based services (LBS) equipped with GPS capability. The popular LBS include map and navigation, traffic and transportation updates, shopping and coupon services, and location-sensitive social network services. Overall, the emerging location-based smartphone apps (LBA) offer significant value by providing greater connectivity, personalization, and information and entertainment in a location-specific context. Conversely, the rapid growth of LBA and their benefits have been accompanied by concerns over the collection and dissemination of individual users' personal information through ongoing tracking of their location, identity, preferences, and social behaviors. The majority of LBA users tend to agree and consent to the LBA provider's terms and privacy policy on use of location data to get the immediate services. This tendency further increases the potential risks of unprotected exposure of personal information and serious invasion and breaches of individual privacy. To address the complex issues surrounding LBA particularly from the user's behavioral perspective, this study applied the privacy calculus model (PCM) to explore the factors that influence the adoption of LBA. According to PCM, consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. Consistent with the principal notion of PCM, we investigated how individual users make a risk-benefit assessment under which personalized service and locatability act as benefit-side factors and information privacy risks act as a risk-side factor accompanying LBA adoption. In addition, we consider the moderating role of trust on the service providers in the prohibiting effects of privacy risks on user intention to adopt LBA. Further we include perceived ease of use and usefulness as additional constructs to examine whether the technology acceptance model (TAM) can be applied in the context of LBA adoption. The research model with ten (10) hypotheses was tested using data gathered from 98 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a LBA allows the participant to purchase time-and-location sensitive discounted tickets for nearby stores. Structural equations modeling using partial least square validated the instrument and the proposed model. The results showed that six (6) out of ten (10) hypotheses were supported. On the subject of the core PCM, H2 (locatability ${\rightarrow}$ intention to use LBA) and H3 (privacy risks ${\rightarrow}$ intention to use LBA) were supported, while H1 (personalization ${\rightarrow}$ intention to use LBA) was not supported. Further, we could not any interaction effects (personalization X privacy risks, H4 & locatability X privacy risks, H5) on the intention to use LBA. In terms of privacy risks and trust, as mentioned above we found the significant negative influence from privacy risks on intention to use (H3), but positive influence from trust, which supported H6 (trust ${\rightarrow}$ intention to use LBA). The moderating effect of trust on the negative relationship between privacy risks and intention to use LBA was tested and confirmed by supporting H7 (privacy risks X trust ${\rightarrow}$ intention to use LBA). The two hypotheses regarding to the TAM, including H8 (perceived ease of use ${\rightarrow}$ perceived usefulness) and H9 (perceived ease of use ${\rightarrow}$ intention to use LBA) were supported; however, H10 (perceived effectiveness ${\rightarrow}$ intention to use LBA) was not supported. Results of this study offer the following key findings and implications. First the application of PCM was found to be a good analysis framework in the context of LBA adoption. Many of the hypotheses in the model were confirmed and the high value of $R^2$ (i.,e., 51%) indicated a good fit of the model. In particular, locatability and privacy risks are found to be the appropriate PCM-based antecedent variables. Second, the existence of moderating effect of trust on service provider suggests that the same marginal change in the level of privacy risks may differentially influence the intention to use LBA. That is, while the privacy risks increasingly become important social issues and will negatively influence the intention to use LBA, it is critical for LBA providers to build consumer trust and confidence to successfully mitigate this negative impact. Lastly, we could not find sufficient evidence that the intention to use LBA is influenced by perceived usefulness, which has been very well supported in most previous TAM research. This may suggest that more future research should examine the validity of applying TAM and further extend or modify it in the context of LBA or other similar smartphone apps.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.19 no.1
• /
• pp.107-120
• /
• 2017

The purpose of this study was to investigate the effects of fashion shopping orientation and mobile shopping characteristics on consumer's perceived value. In addition, mobile purchase experiences of male consumers in their 20s~30s were analyzed. Questionnaires were carried out from November 10, 2015 to November 20, 2015 and 230 useful data were analyzed by descriptive statistics, exploratory factor analysis, reliability analysis, ANOVA, duncan test, multiple regression using Spss 21. The results of this study were as follows: First, fashion shopping orientation of male consumers was composed of five factors, which were 'brand ostentatious orientation', 'pleasure/trend orientation', 'economic orientation', 'impulse orientation' and 'time-saving orientation'. Second, mobile shopping characteristics were divided into three factors including 'ease of use', 'personalization', and 'security'. Third, fashion shopping orientation factors such as 'pleasure/trend orientation', 'economic orientation', and 'time-saving orientation' had a significant influence on the perceived value, while all the factors of mobile shopping characteristics affected the perceived value significantly. Fourth, there were significant differences among the classsified groups based on the level of purchase frequency and the period of using mobile shopping mall in fashion shopping orientation factors. Fourth, there were significant differences among the group classified by the level of purchase frequency in mobile shopping characteristics factors. These results suggested the differenciated strategies for customer management to make male consumers lead to mobile purchase.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.7
• /
• pp.109-118
• /
• 2021

Different from previous studies, this study focuses on accommodation providers' personalization services and platform convenience variables, identifying how these prior factors affect perceived value and trust in accommodation services on a shared homestay platform, and how consumers' innovation plays a role in the process. Through this, we would like to identify the mechanism of interaction between accommodation service providers and consumers mediated by the shared homestay platform and present implications for a more customer-centered platform operation strategy. This study has an extended meaning for prior research, empirically confirming that the increase in personalized offline service quality of personalized hosts in shared economic models has a positive impact on perceived value and platform trust of consumers. At the same time, we confirm that under the shared economy model, consumers' innovation propensity plays an important positive role in regulating their perceived value aspects as well as their confidence in the platform.

• Asia pacific journal of information systems
• /
• v.33 no.4
• /
• pp.1156-1170
• /
• 2023

Various corporates have launched products and brands to meet the diverse needs of consumers. However, an excess of information and products could be collapsed into a choice paradox far from the intention. As an alternative to these problems, curation-based services have recently been in the limelight and can be adopted into e-commerce sites. As one of the earlier studies on the considerable factors of curation services, this study focuses on the online fashion recommendation system in which design quality, interactivity, and perceived usefulness will affect trust, satisfaction, and continued intention to use. In the result, the design quality factor shows a positive effect on satisfaction, but not on the trust. Also, interactivity doesn't demonstrate a significant positive effect on both the satisfaction and the trust factors far from the previous ones but the perceived usefulness had a positive effect on those. In addition, the personalization does not affect a significant effect on the satisfaction factor but on the trust factor. Subsequently, the trust affects the satisfaction, and the satisfaction on the continued intention to use factor, but trust does not significantly affect the continued intention to use directly.

• Asia pacific journal of information systems
• /
• v.13 no.3
• /
• pp.243-259
• /
• 2003

Many R&D organizations have interests on knowledge management system(KMS) to organize and utilize their knowledge resources. Currently, for research collaboration and knowledge management R&D organizations use either a specialized knowledge management system or a set of general application systems such as basic messaging system and document management system. The objectives of this paper are to identify important functionalities of knowledge management systems based on team characteristics and knowledge process of research teams in research organizations and to provide implications to design and implement knowledge management system for R&D teams. Survey results show that research teams perceive communication, collaboration and connection functionalities are important when their team sizes are large or they are distributed. During knowledge capture process, they need personalization of knowledge to reduce information overload.